Storage Server Qualification Engineer, Cloud Platforms

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• 2 years of experience working in storage and server system technical environments, or with an advanced degree.

Preferred qualifications:

• Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
• Experience in collecting and organizing information for reproducing failures, explaining root causes and driving issue closure.
• Experience in working with Joint Design Manufacturer/Original Design Manufacturer partners on storage and server products qualification.
• Experience with the product development process, and knowledge of storage and server systems, including their physical, functional, mechanical and electrical aspects.
• Knowledge of the Linux operating system, shell scripting and Python.
• Ability to characterize storage and server products quality over a large scale and use data analysis knowledge to enable failure analysis.

About the job

As a Storage Server Qualification Hardware Engineer, you will design and test the storage server products that power the world's largest and most advanced storage infrastructure. You perform the tests from the component level to the large system scale and see those products all the way through to high volume manufacturing. Your work has the potential to support the machinery that goes into the data centers affecting millions of Google users.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

• Create test plans and coordinate resources across many test environments.
• Conduct various tests, including electrical, functional, reliability and performance tests to ensure hardware meets Google's standards.
• Identify and report bugs and work with internal cross-functional teams and external suppliers to resolve them. And continuously improve and maintain the qualification process.
• Improve the test efficiency and test quality. Drive test optimization and improvement from generation to generation.
• Develop and maintain test framework scripts for the test automation.